Finding Dimensions for Queries

We address the problem of finding multiple groups of words

or phrases that explain the underlying query facets, which

we refer to as query dimensions. We assume that the important

aspects of a query are usually presented and repeated in

the query’s top retrieved documents in the style of lists, and

query dimensions can be mined out by aggregating these significant

lists. Experimental results show that a large number

of lists do exist in the top results, and query dimensions generated

by grouping these lists are useful for users to learn

interesting knowledge about the queries.

PDF file

In  Proceedings of CIKM2011

Publisher  ACM
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